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Digital image processing requires visual information, sampling, quantization, resolution, and image sensing. Image acquisition consists of illuminating a scene and absorbing the energy reflected by the objects. Image digitization is the continuous nature of an image being projected onto a sensor array. In order to process an image, it must be represented in bits. Sampling is the first step in which we must reduce the spatial resolution of the image from a continuous area representation into a finite number of small picture elements. Quantization is the second where we must convert the brightness level corresponding to each pixel into code representing the approximate gray level or color. Quality of an image is dependent on the pixels it has, the fewer, the grainier the image, and the more pixels, the more time and storage it takes up.